After some more experiments with OpenAI's whisper & I continue being impressed! 👌
— Sebastian Raschka (@rasbt) September 25, 2022
So impressed that I let my GPUs do some crunching over the wknd.
Tada, all subtitles (closed-captions) of the 170 vids in my DL course are whisper-based now 🚀 https://t.co/8FhMfL6v3N
Script 👇
I'm impressed with this @fastdotai student project that managed to create a dataset and model from scratch to recognise 800 bird species.https://t.co/qOYGlVckNR pic.twitter.com/xpQSH2A6hD
— Jeremy Howard (@jeremyphoward) September 24, 2022
MEGA is a new method for modeling long sequences based on the surprisingly simple technique of taking the moving average of embeddings.
— Graham Neubig (@gneubig) September 23, 2022
Excellent results, outperforming strong competitors such as S4 on most tasks! Strongly recommend that you check it out: https://t.co/Y07MSd0hhc https://t.co/9xbmaF5XCr pic.twitter.com/pX01RctxDN
Mega: Moving Average Equipped Gated Attention
— AK (@_akhaliq) September 23, 2022
abs: https://t.co/HxcNRQFg16 pic.twitter.com/gFuvKJOYvy
VToonify: Controllable High-Resolution Portrait Video Style Transfer
— AK (@_akhaliq) September 23, 2022
abs: https://t.co/ooiRHTRVf3
project page: https://t.co/juAGeGxoFK
github: https://t.co/JvFUrT3uDZ pic.twitter.com/IQx2b6DXfd
Efficient Few-Shot Learning Without Prompts
— AK (@_akhaliq) September 23, 2022
abs: https://t.co/od6AtDNSJJ pic.twitter.com/C9uWHgOEXI
Reading through OpenAI Whisper paper https://t.co/3PmWvQNCFs some notes: pic.twitter.com/QVeqaGVvsV
— Andrej Karpathy (@karpathy) September 22, 2022
Population change in 2020 across Europe. Huge decline in Italy and Greece. Many regions in Germany boom despite widespread decline. Demographic challenges in Europe will get worse. Nice map by @milos_agathon. Map enthusiasts must follow him… pic.twitter.com/LpOMXRtw6M
— Simon Kuestenmacher (@simongerman600) September 21, 2022
Generally looks OK, but the low end os 'subsample' is way too low IMHO.
— Bojan Tunguz (@tunguz) September 21, 2022
Here is an example of Optuna script that I often run for tuning of those parameters:https://t.co/Vm4KHqrk5J pic.twitter.com/uhvQrIY4vp
I’m happy to share the published version of our ConVIRT algorithm, appearing in #MLHC2022 (PMLR 182). In 2020, this was a pioneering work in contrastive learning of perception by using naturally occurring paired text. Unfortunately, things took a winding path from there. 🧵👇 pic.twitter.com/CUwAZftKlV
— Christopher Manning (@chrmanning) September 21, 2022
We've trained a neural net called Whisper that approaches human-level robustness and accuracy on English speech recognition. It performs well even on diverse accents and technical language. Whisper is open source for all to use. https://t.co/ueVywYPEkK
— OpenAI (@OpenAI) September 21, 2022
https://t.co/kGd50oUFR1: an open-source toolkit for animal pose tracking. Works with any type/number of animals. Published in Nature Methods. Seems highly useful both for academia and real-world deployment!
— François Chollet (@fchollet) September 21, 2022
Built with Python/TF/Keras. pic.twitter.com/pkgvYWyCUT
